Abstract: An image processing device 100 comprises: an acquisition unit 110 that acquires a color image captured in accordance with incident light including visible light and near-infrared light, said color image including a first area and a second area that is captured with reduced near-infrared light in the incident light compared with the first area; an estimation unit f120 that estimates spectral characteristics of the incident light on the basis of color information of the acquired color image, and information modeling the spectral characteristics of the incident lights; a generation unit 130 that generates a visible light image and a near-infrared image on the basis of the estimated spectral characteristics; and a correction unit 140 that corrects the generated visible image and near-infrared image on the basis of the color information of the second area in the color image.

Abstract: A scalable video decoder is described which is configured to reconstruct a base layer signal from a coded data stream to obtain a reconstructed base layer signal; and reconstruct an enhancement layer signal including spatially or temporally predicting a portion of an enhancement layer signal, currently to be reconstructed, from an already reconstructed portion of the enhancement layer signal to obtain an enhancement layer internal prediction signal; forming, at the portion currently to be reconstructed, a weighted average of an inter-layer prediction signal obtained from the reconstructed base layer signal, and the enhancement layer internal prediction signal to obtain an enhancement layer prediction signal such that a weighting between the inter-layer prediction signal and the enhancement layer internal prediction signal varies over different spatial frequency components; and predictively reconstructing the enhancement layer signal using the enhancement layer prediction signal.

Abstract: A pixel value of a pixel in a picture of a video sequence is modified by a weighted combination of the pixel value and at least one spatially neighboring pixel value in a filtering. The filtering depends on a pixel distance between the pixel and a neighboring pixel and on a pixel value difference between the pixel and a neighboring pixel value of the neighboring pixel. The filtering is controlled by a spatial parameter and a range parameter. The spatial parameter depends on at least one of a width and a height of a transform block, and on at least one of a prediction type of a block of pixels in the picture, a picture type of the picture, and a slice type of a slice in the picture.

Abstract: Hand-held devices combine smartphones and electronic binoculars. In “in-phone” embodiments, binocular functionality is integrated directly into the housing or body of a smartphone modified in accordance with the invention, whereas, in “in-case” embodiments, the binoculars are integrated into a case to receive a smartphone which may be of conventional design. In either case, components within the phone may be used for image manipulation, image storage, and/or sending and receiving/streaming stereoscopic/3D motion imagery. The objective lenses for the binoculars are preferably supported on or in one of the longer side edges of the phone or case, whereas the display magnifying eyepieces are preferably associated with the opposing longer side edge of the phone or case. As such, in use, a user holds the phone or case in a generally horizontal plane during use as binoculars.

Abstract: A diagnosis support system having an image sensor that captures a medical image and a processor configured to capture medical images of which imaging times are different, store any of medical images as representative images, store the medical images excluding the representative images as groups of neighboring images such that each the groups of neighboring images are associated with the representative images, display the representative images in a list on a display device, receive a selection from the representative images displayed in the list, extract a neighboring image for diagnosis from among a group of neighboring images which is associated with a selected representative image, and display the extracted neighboring image for diagnosis on the display.

Abstract: A decoding method including: decoding at a current time instant a current image having at least two views respectively representative of a same scene. The decoding includes: deriving a disparity motion vector for a current block; predictively decoding the current block according to the derived disparity motion vector; and during the deriving: constructing a plurality of lists of disparity motion vectors, including at least one list in which at least two disparity motion vectors have been derived respectively according to at least two different estimation methods; applying a first function to the at least two disparity motion vectors of the at least one list, to obtain one disparity motion vector for each of the at least one list, and applying a second function to the disparity motion vectors of the plurality of lists to deliver the derived disparity motion vector.

Abstract: A 3 MOS camera includes a first prism that has a first reflection film which reflects IR light that causes a first image sensor to receive the IR light, a second prism that has a second reflection film which reflects A % (A: a predetermined real number) visible light and that causes a second image sensor to receive the A % visible light, a third prism that causes a third image sensor to receive a (100?A) % visible light, and a video signal processor that combines a first video signal, a second video signal, and a third video signal of an observation part. The video signal processor performs pixel shifting on one of the second video signal and the third video signal having substantially same brightness to generate a fourth video signal and outputs a video signal obtained by combining the fourth video signal and the first video signal.

Abstract: Techniques and tools for performing fading compensation in video processing applications are described. For example, during encoding, a video encoder performs fading compensation using fading parameters comprising a scaling parameter and a shifting parameter on one or more reference images. During decoding, a video decoder performs corresponding fading compensation on the one or more reference images.

Abstract: A method for measuring objects in digestive tract based on an imaging system is provided. The imaging system enters a calibration stage, and obtains a calibration image. A measurement stage enters, and the imaging system places in the digestive tract to capture at least one detection image. The depth distance zi from each pixel in the detection image to the imaging system is calculated, and it records as a depth image z(x, y). The scale r of each pixel in the detection image is calculated according to the depth image z(x, y). The actual two-dimensional coordinates Si? of each pixel point in the detection image are calculated by the scale r, and the actual three-dimensional coordinates (Si?, z(x, y)) of each pixel are obtained. The distance between any two pixels in the detection image or the area within any range is calculated.

Abstract: Method and apparatus of video coding are disclosed. According to the method, a boundary region in the current block is determined. For each pixel in the boundary region, an Intra predictor and an Inter predictor care derived. An Intra-Inter predictor is generated by blending the Intra predictor and the Inter predictor. Pixels in the boundary region of the current block are encoded or decoded using the Intra-Inter predictor. For the remaining pixels in the current block not belonging to the boundary region, the pixels are encoded or decoded using the Inter predictor or the Intra predictor. In another method, the Intra-Inter prediction process is implemented by scaling the sum of the Intra weighting factor and the Inter weighting factor is scaled to a power-of-2 number to avoid the need for the division operation. In yet another method, the Intra-Inter prediction is applied depending on the current block size.

Abstract: A method for decoding a data stream representative of an image sequence. At least one current block of a current image in the image sequence is encoded using a predictor block of a reference image, the predictor block being identified in the reference image via location information. An information item enabling the reference image to be identified from a set of reference images is obtained. When the reference image satisfies a predetermined criterion, the location information of the predictor block is decoded using a first decoding mode, otherwise the location information of the predictor block is decoded using a second decoding mode, the first and second decoding modes including at least a different decoding parameter. The current block is then reconstructed from the predictor block.

Abstract: A method of automatically detecting damage following a loss causing incident is disclosed. The method includes capturing image information about a group of physical objects in their initial states and comparing these with image information about the group of physical objects in their modified states following a loss causing incident. The method includes detecting discrepancies between the initial and modified states and automatically assesses the degree of damage and/or loss.

Abstract: A data encoding method for encoding an array of data values as data sets and escape codes for values not encoded by the data sets, an escape code including a unary coded portion and a non-unary coded portion, the method including: setting a coding parameter defining a minimum number of bits of a non-unary coded portion; adding an offset value of 1 or more to the coding parameter to define a minimum least significant data portion size; generating one or more data sets indicative of positions, relative to the array of data values, of data values of predetermined magnitude ranges, to encode the value of at least one least significant bit of each data value; generating respective complementary most-significant data portions and least-significant data portions; encoding the data sets; encoding the most significant data portions; and encoding the least-significant portions.

Abstract: An apparatus for coding a block of a frame using intra-prediction includes a memory and a processor. The processor is configured to execute instructions stored in the memory to obtain an intra-prediction mode for coding the block of the frame; select a transform type for coding a transform block of a residual block, which results from predicting the block using the intra-prediction mode; and code the transform block using the transform type. To select the transform type includes to, in a case where the intra-prediction mode is a SMOOTH_PRED, select a ADST_ADST transform type; in a case where the intra-prediction mode is a SMOOTH_H_PRED, select a DCT_ADST transform type; and in a case where the intra-prediction mode is a SMOOTH_V_PRED, select a ADST_DCT transform type.

Abstract: Method for monitoring for presence in a surveillance zone (ZS) using a surveillance system (SY), comprising the following steps: detecting an absence of movement or of at least one movement of at least one entity (E1, E2, En) in a detection zone (ZD); creating and/or modifying, in a memory of the surveillance device (Dl), a piece of movement information (IM); sending the movement information (IM) using the surveillance device (Dl) to a processing unit (UT) of the surveillance system (SY); detecting an absence or a presence of at least one terminal (T1, T2, T3, Tn) in a communication network (RI); creating and/or modifying, in a memory of a listening module (ME), a piece of presence information (IP); and sending the piece of presence information (IP), using the listening module (ME), to the processing unit (UT).

Abstract: The disclosure is related to a method and apparatus of scanning a target object in three dimensions (3D). The method may include projecting a color dashed line pattern onto a target object, scanning the target object with the color dashed line pattern projected thereto, and producing a 3D data of the target object by processing the scanning result. The color dashed line pattern may include multiple dashed line patterns each of which is individually used to calculate the 3D data of the target object.

Abstract: The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.

Abstract: Systems and methods track objects within an operating room. A machine vision system includes at least one camera and a machine vision controller. A navigation system includes a camera unit including a plurality of sensor arrays. The sensor arrays include a plurality of sensing elements. For each of the plurality of sensor arrays, the navigation system identifies a first subset of the plurality of sensing elements to be active based on the position of the object and a second subset of the plurality of sensing elements to be inactive based on the position of the object. The navigation processor is also configured to track a movement of the object within the operating room using the first subset of the plurality of sensing elements while preventing the use of the second subset of the plurality of sensing elements.

Abstract: Provided are a video encoding and decoding method and apparatus for obtaining, in a video encoding and decoding process, motion vector resolution information from a bit stream by using a high-level syntax which is a group of information that is applied to a predefined data unit group; determining a motion vector resolution of a current block included in the predefined data unit group based on the motion vector resolution information; determining a prediction motion vector of the current block to be a motion vector of a candidate block from among at least one candidate block, based on the motion vector resolution of the current block; and determining a motion vector of the current block by using the prediction motion vector of the current block.

Abstract: [Object] To prevent an inappropriate processing parameter from being used in a case in which an image that may be expressed by various expression methods is handled. [Solution] Provided is an image processing device including: a control unit that decides a processing parameter for image processing performed on an image on the basis of at least one of a transfer function related to conversion between light and an image signal that is applied to the image or a color range that is applied to the image; and a processing unit that executes the image processing using the processing parameter that is decided by the control unit.